Overview

Dataset statistics

Number of variables22
Number of observations39607
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 MiB
Average record size in memory176.0 B

Variable types

Numeric22

Alerts

X_25 is highly correlated with X_26 and 3 other fieldsHigh correlation
X_26 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_27 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_28 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_29 is highly correlated with X_25 and 3 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 4 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_06 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_07 is highly correlated with Y_04 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_05 and 7 other fieldsHigh correlation
X_25 is highly correlated with X_26 and 3 other fieldsHigh correlation
X_26 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_27 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_28 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_29 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_30 is highly correlated with X_32High correlation
X_32 is highly correlated with X_30High correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 8 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_10High correlation
Y_07 is highly correlated with Y_04 and 2 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 7 other fieldsHigh correlation
X_25 is highly correlated with X_26 and 3 other fieldsHigh correlation
X_26 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_27 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_28 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_29 is highly correlated with X_25 and 3 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05High correlation
Y_05 is highly correlated with Y_04High correlation
Y_06 is highly correlated with Y_08 and 6 other fieldsHigh correlation
Y_08 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_09 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_10 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_11 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_12 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_13 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_14 is highly correlated with Y_06 and 6 other fieldsHigh correlation
X_25 is highly correlated with X_26 and 3 other fieldsHigh correlation
X_26 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_27 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_28 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_29 is highly correlated with X_25 and 3 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 4 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_01 and 8 other fieldsHigh correlation
Y_07 is highly correlated with Y_01 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_10 is highly correlated with Y_01 and 10 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 8 other fieldsHigh correlation

Reproduction

Analysis started2022-08-06 10:04:21.710478
Analysis finished2022-08-06 10:05:34.925388
Duration1 minute and 13.21 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

X_25
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.093894514
Minimum1.96
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:35.013932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.96
5-th percentile2.04
Q12.07
median2.09
Q32.12
95-th percentile2.15
Maximum2.35
Range0.39
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.0331484183
Coefficient of variation (CV)0.0158309877
Kurtosis1.387713775
Mean2.093894514
Median Absolute Deviation (MAD)0.02
Skewness0.5229353029
Sum82932.88
Variance0.001098817636
MonotonicityNot monotonic
2022-08-06T19:05:35.154774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2.076020
15.2%
2.14070
10.3%
2.094067
10.3%
2.083838
9.7%
2.113607
9.1%
2.123523
8.9%
2.062894
7.3%
2.132867
7.2%
2.052245
 
5.7%
2.142197
 
5.5%
Other values (28)4279
10.8%
ValueCountFrequency (%)
1.961
 
< 0.1%
1.994
 
< 0.1%
215
 
< 0.1%
2.0151
 
0.1%
2.02170
 
0.4%
2.03535
 
1.4%
2.041320
 
3.3%
2.052245
 
5.7%
2.062894
7.3%
2.076020
15.2%
ValueCountFrequency (%)
2.351
 
< 0.1%
2.344
< 0.1%
2.334
< 0.1%
2.322
 
< 0.1%
2.315
< 0.1%
2.36
< 0.1%
2.296
< 0.1%
2.283
 
< 0.1%
2.275
< 0.1%
2.268
< 0.1%

X_26
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.090376954
Minimum1.98
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:35.307281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.98
5-th percentile2.03
Q12.06
median2.09
Q32.12
95-th percentile2.15
Maximum2.35
Range0.37
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.03851248414
Coefficient of variation (CV)0.018423703
Kurtosis2.44244867
Mean2.090376954
Median Absolute Deviation (MAD)0.03
Skewness0.6302245522
Sum82793.56
Variance0.001483211435
MonotonicityNot monotonic
2022-08-06T19:05:35.448742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2.084205
10.6%
2.093988
10.1%
2.13814
9.6%
2.033681
9.3%
2.113618
9.1%
2.073566
9.0%
2.123394
8.6%
2.062777
7.0%
2.132739
6.9%
2.142058
 
5.2%
Other values (28)5767
14.6%
ValueCountFrequency (%)
1.983
 
< 0.1%
1.997
 
< 0.1%
224
 
0.1%
2.01114
 
0.3%
2.02336
 
0.8%
2.033681
9.3%
2.041263
 
3.2%
2.051829
4.6%
2.062777
7.0%
2.073566
9.0%
ValueCountFrequency (%)
2.353
 
< 0.1%
2.347
 
< 0.1%
2.3310
< 0.1%
2.3217
< 0.1%
2.3115
< 0.1%
2.319
< 0.1%
2.2913
< 0.1%
2.2819
< 0.1%
2.2713
< 0.1%
2.2621
0.1%

X_27
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.098249299
Minimum1.99
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:35.600245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.99
5-th percentile2.05
Q12.07
median2.09
Q32.12
95-th percentile2.16
Maximum2.35
Range0.36
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03805568654
Coefficient of variation (CV)0.01813687561
Kurtosis3.975990273
Mean2.098249299
Median Absolute Deviation (MAD)0.02
Skewness1.173968508
Sum83105.36
Variance0.001448235278
MonotonicityNot monotonic
2022-08-06T19:05:35.739607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2.076043
15.3%
2.14155
10.5%
2.093996
10.1%
2.083624
9.1%
2.113551
9.0%
2.123283
8.3%
2.132772
7.0%
2.062685
6.8%
2.142240
 
5.7%
2.051856
 
4.7%
Other values (27)5402
13.6%
ValueCountFrequency (%)
1.995
 
< 0.1%
214
 
< 0.1%
2.0152
 
0.1%
2.02165
 
0.4%
2.03471
 
1.2%
2.041112
 
2.8%
2.051856
 
4.7%
2.062685
6.8%
2.076043
15.3%
2.083624
9.1%
ValueCountFrequency (%)
2.356
 
< 0.1%
2.3411
 
< 0.1%
2.3321
0.1%
2.3219
< 0.1%
2.3121
0.1%
2.328
0.1%
2.2928
0.1%
2.2830
0.1%
2.2729
0.1%
2.2626
0.1%

X_28
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.11859444
Minimum1.93
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:35.891500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.93
5-th percentile2.06
Q12.09
median2.12
Q32.14
95-th percentile2.18
Maximum2.35
Range0.42
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.04278212085
Coefficient of variation (CV)0.02019363406
Kurtosis4.401943285
Mean2.11859444
Median Absolute Deviation (MAD)0.02
Skewness1.336632758
Sum83911.17
Variance0.001830309865
MonotonicityNot monotonic
2022-08-06T19:05:36.027395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2.124232
10.7%
2.114144
10.5%
2.13982
10.1%
2.143914
9.9%
2.133904
9.9%
2.063770
9.5%
2.093018
7.6%
2.152813
7.1%
2.082234
 
5.6%
2.161934
 
4.9%
Other values (29)5662
14.3%
ValueCountFrequency (%)
1.931
 
< 0.1%
1.981
 
< 0.1%
1.992
 
< 0.1%
21
 
< 0.1%
2.011
 
< 0.1%
2.0215
 
< 0.1%
2.0343
 
0.1%
2.04179
 
0.5%
2.05401
 
1.0%
2.063770
9.5%
ValueCountFrequency (%)
2.3524
 
0.1%
2.3448
0.1%
2.3367
0.2%
2.3264
0.2%
2.3169
0.2%
2.360
0.2%
2.2963
0.2%
2.2887
0.2%
2.2788
0.2%
2.2682
0.2%

X_29
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct31
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.173727119
Minimum2.02
Maximum2.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:36.163884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.02
5-th percentile2.12
Q12.14
median2.17
Q32.2
95-th percentile2.26
Maximum2.36
Range0.34
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04668877281
Coefficient of variation (CV)0.02147867246
Kurtosis1.94721503
Mean2.173727119
Median Absolute Deviation (MAD)0.03
Skewness1.153102046
Sum86094.81
Variance0.002179841506
MonotonicityNot monotonic
2022-08-06T19:05:36.288813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2.124636
11.7%
2.153746
9.5%
2.163678
9.3%
2.173503
8.8%
2.193376
8.5%
2.183328
8.4%
2.142827
 
7.1%
2.22811
 
7.1%
2.132368
 
6.0%
2.212244
 
5.7%
Other values (21)7090
17.9%
ValueCountFrequency (%)
2.021
 
< 0.1%
2.0710
 
< 0.1%
2.0818
 
< 0.1%
2.09109
 
0.3%
2.1385
 
1.0%
2.11994
 
2.5%
2.124636
11.7%
2.132368
6.0%
2.142827
7.1%
2.153746
9.5%
ValueCountFrequency (%)
2.3674
 
0.2%
2.35147
0.4%
2.34180
0.5%
2.33175
0.4%
2.32198
0.5%
2.31181
0.5%
2.3212
0.5%
2.29214
0.5%
2.28254
0.6%
2.27303
0.8%

X_30
Real number (ℝ≥0)

HIGH CORRELATION

Distinct37
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.37899437
Minimum0.57
Maximum2.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:36.428846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile1.35
Q11.37
median1.37
Q31.38
95-th percentile1.41
Maximum2.11
Range1.54
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.03041210898
Coefficient of variation (CV)0.02205383115
Kurtosis174.7110688
Mean1.37899437
Median Absolute Deviation (MAD)0.01
Skewness-2.966362014
Sum54617.83
Variance0.0009248963729
MonotonicityNot monotonic
2022-08-06T19:05:36.565307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1.3711784
29.8%
1.3810830
27.3%
1.365976
15.1%
1.395091
12.9%
1.351975
 
5.0%
1.41390
 
3.5%
1.48485
 
1.2%
1.49389
 
1.0%
1.47386
 
1.0%
1.34291
 
0.7%
Other values (27)1010
 
2.6%
ValueCountFrequency (%)
0.5712
 
< 0.1%
1.272
 
< 0.1%
1.284
 
< 0.1%
1.292
 
< 0.1%
1.33
 
< 0.1%
1.317
 
< 0.1%
1.328
 
< 0.1%
1.3332
 
0.1%
1.34291
 
0.7%
1.351975
5.0%
ValueCountFrequency (%)
2.111
 
< 0.1%
2.031
 
< 0.1%
1.991
 
< 0.1%
1.781
 
< 0.1%
1.621
 
< 0.1%
1.62
< 0.1%
1.572
< 0.1%
1.552
< 0.1%
1.541
 
< 0.1%
1.533
< 0.1%

X_31
Real number (ℝ≥0)

Distinct77
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57114096
Minimum0.6
Maximum7.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:36.719659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.51
Q11.53
median1.55
Q31.6
95-th percentile1.7
Maximum7.21
Range6.61
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.07451960982
Coefficient of variation (CV)0.04743025083
Kurtosis859.2713098
Mean1.57114096
Median Absolute Deviation (MAD)0.02
Skewness12.39467583
Sum62228.18
Variance0.005553172247
MonotonicityNot monotonic
2022-08-06T19:05:36.865175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.546107
15.4%
1.535851
14.8%
1.524594
11.6%
1.554092
10.3%
1.562677
 
6.8%
1.512116
 
5.3%
1.571647
 
4.2%
1.581066
 
2.7%
1.631025
 
2.6%
1.611017
 
2.6%
Other values (67)9415
23.8%
ValueCountFrequency (%)
0.614
 
< 0.1%
1.431
 
< 0.1%
1.451
 
< 0.1%
1.463
 
< 0.1%
1.473
 
< 0.1%
1.487
 
< 0.1%
1.4940
 
0.1%
1.5430
 
1.1%
1.512116
5.3%
1.524594
11.6%
ValueCountFrequency (%)
7.211
< 0.1%
3.481
< 0.1%
3.111
< 0.1%
2.671
< 0.1%
2.611
< 0.1%
2.571
< 0.1%
2.431
< 0.1%
2.321
< 0.1%
2.291
< 0.1%
2.251
< 0.1%

X_32
Real number (ℝ≥0)

HIGH CORRELATION

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.362929028
Minimum0.57
Maximum2.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:37.014128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile1.34
Q11.35
median1.36
Q31.37
95-th percentile1.39
Maximum2.45
Range1.88
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.02994495088
Coefficient of variation (CV)0.0219710273
Kurtosis266.7654368
Mean1.362929028
Median Absolute Deviation (MAD)0.01
Skewness-3.667545871
Sum53981.53
Variance0.0008967000832
MonotonicityNot monotonic
2022-08-06T19:05:37.155463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1.3613644
34.4%
1.3510773
27.2%
1.378156
20.6%
1.342885
 
7.3%
1.381686
 
4.3%
1.46664
 
1.7%
1.47478
 
1.2%
1.45386
 
1.0%
1.33351
 
0.9%
1.39180
 
0.5%
Other values (28)404
 
1.0%
ValueCountFrequency (%)
0.5716
 
< 0.1%
1.261
 
< 0.1%
1.272
 
< 0.1%
1.282
 
< 0.1%
1.293
 
< 0.1%
1.32
 
< 0.1%
1.316
 
< 0.1%
1.3247
 
0.1%
1.33351
 
0.9%
1.342885
7.3%
ValueCountFrequency (%)
2.451
< 0.1%
2.111
< 0.1%
1.961
< 0.1%
1.921
< 0.1%
1.91
< 0.1%
1.841
< 0.1%
1.681
< 0.1%
1.671
< 0.1%
1.591
< 0.1%
1.561
< 0.1%

Y_01
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2249
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.353813796
Minimum0.017
Maximum4.409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:37.315758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.7833
Q11.1275
median1.349
Q31.576
95-th percentile1.931
Maximum4.409
Range4.392
Interquartile range (IQR)0.4485

Descriptive statistics

Standard deviation0.3562231101
Coefficient of variation (CV)0.2631256316
Kurtosis1.210970899
Mean1.353813796
Median Absolute Deviation (MAD)0.224
Skewness0.1502434869
Sum53620.503
Variance0.1268949041
MonotonicityNot monotonic
2022-08-06T19:05:37.464725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.37664
 
0.2%
1.31262
 
0.2%
1.33360
 
0.2%
1.4260
 
0.2%
1.38960
 
0.2%
1.27860
 
0.2%
1.360
 
0.2%
1.30859
 
0.1%
1.458
 
0.1%
1.26358
 
0.1%
Other values (2239)39006
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0181
 
< 0.1%
0.0192
< 0.1%
0.023
< 0.1%
0.0212
< 0.1%
0.0252
< 0.1%
0.0262
< 0.1%
0.0271
 
< 0.1%
0.0281
 
< 0.1%
0.0351
 
< 0.1%
ValueCountFrequency (%)
4.4091
< 0.1%
4.0811
< 0.1%
3.791
< 0.1%
3.721
< 0.1%
3.5291
< 0.1%
3.5181
< 0.1%
3.5011
< 0.1%
3.4991
< 0.1%
3.4191
< 0.1%
3.3641
< 0.1%

Y_02
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2227
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.057267251
Minimum0.007
Maximum3.998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:37.621379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.45
Q10.793
median1.044
Q31.3
95-th percentile1.711
Maximum3.998
Range3.991
Interquartile range (IQR)0.507

Descriptive statistics

Standard deviation0.386265985
Coefficient of variation (CV)0.3653437527
Kurtosis0.6736418075
Mean1.057267251
Median Absolute Deviation (MAD)0.254
Skewness0.3657652688
Sum41875.184
Variance0.1492014112
MonotonicityNot monotonic
2022-08-06T19:05:37.776636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.07259
 
0.1%
0.81459
 
0.1%
1.1258
 
0.1%
1.04357
 
0.1%
0.92456
 
0.1%
0.88856
 
0.1%
1.03155
 
0.1%
1.14455
 
0.1%
0.90255
 
0.1%
0.83454
 
0.1%
Other values (2217)39043
98.6%
ValueCountFrequency (%)
0.0072
 
< 0.1%
0.0084
< 0.1%
0.0093
< 0.1%
0.014
< 0.1%
0.0113
< 0.1%
0.0123
< 0.1%
0.0135
< 0.1%
0.0142
 
< 0.1%
0.0157
< 0.1%
0.0166
< 0.1%
ValueCountFrequency (%)
3.9981
< 0.1%
3.971
< 0.1%
3.721
< 0.1%
3.5521
< 0.1%
3.2881
< 0.1%
3.2561
< 0.1%
3.2281
< 0.1%
3.1421
< 0.1%
3.1151
< 0.1%
3.0491
< 0.1%

Y_03
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2127
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.014001717
Minimum0.017
Maximum3.756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:37.941924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.451
Q10.769
median0.998
Q31.239
95-th percentile1.628
Maximum3.756
Range3.739
Interquartile range (IQR)0.47

Descriptive statistics

Standard deviation0.3614919509
Coefficient of variation (CV)0.3565003341
Kurtosis0.7764764849
Mean1.014001717
Median Absolute Deviation (MAD)0.235
Skewness0.396399124
Sum40161.566
Variance0.1306764305
MonotonicityNot monotonic
2022-08-06T19:05:38.095082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88866
 
0.2%
0.98863
 
0.2%
0.97362
 
0.2%
0.97161
 
0.2%
0.96561
 
0.2%
1.10460
 
0.2%
0.86960
 
0.2%
0.99959
 
0.1%
0.90657
 
0.1%
0.84657
 
0.1%
Other values (2117)39001
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0191
 
< 0.1%
0.0214
< 0.1%
0.0221
 
< 0.1%
0.0242
< 0.1%
0.0252
< 0.1%
0.0272
< 0.1%
0.0293
< 0.1%
0.032
< 0.1%
0.0311
 
< 0.1%
ValueCountFrequency (%)
3.7561
< 0.1%
3.7131
< 0.1%
3.2841
< 0.1%
3.2131
< 0.1%
3.1981
< 0.1%
3.1821
< 0.1%
3.1021
< 0.1%
3.0991
< 0.1%
3.0691
< 0.1%
3.0281
< 0.1%

Y_04
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10773
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62119133
Minimum-0.331
Maximum98.794
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size309.6 KiB
2022-08-06T19:05:38.260992image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.331
5-th percentile8.9393
Q111.822
median13.837
Q315.626
95-th percentile17.5587
Maximum98.794
Range99.125
Interquartile range (IQR)3.804

Descriptive statistics

Standard deviation2.686631665
Coefficient of variation (CV)0.1972391107
Kurtosis25.18483477
Mean13.62119133
Median Absolute Deviation (MAD)1.887
Skewness0.4534505598
Sum539494.525
Variance7.217989702
MonotonicityNot monotonic
2022-08-06T19:05:38.413763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.85215
 
< 0.1%
14.24314
 
< 0.1%
13.34914
 
< 0.1%
15.70713
 
< 0.1%
15.46113
 
< 0.1%
13.8913
 
< 0.1%
14.40913
 
< 0.1%
14.77413
 
< 0.1%
15.06313
 
< 0.1%
15.43613
 
< 0.1%
Other values (10763)39473
99.7%
ValueCountFrequency (%)
-0.3311
< 0.1%
-0.3271
< 0.1%
-0.3081
< 0.1%
2.2421
< 0.1%
3.3121
< 0.1%
3.4471
< 0.1%
3.4781
< 0.1%
3.8331
< 0.1%
3.8471
< 0.1%
3.9241
< 0.1%
ValueCountFrequency (%)
98.7941
< 0.1%
33.3331
< 0.1%
25.9561
< 0.1%
21.4621
< 0.1%
21.4421
< 0.1%
20.891
< 0.1%
20.4761
< 0.1%
20.3211
< 0.1%
20.2091
< 0.1%
20.2041
< 0.1%

Y_05
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10241
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.29046706
Minimum18.589
Maximum37.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:38.568168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum18.589
5-th percentile26.512
Q129.768
median31.71
Q333.184
95-th percentile34.709
Maximum37.25
Range18.661
Interquartile range (IQR)3.416

Descriptive statistics

Standard deviation2.543221628
Coefficient of variation (CV)0.08127784168
Kurtosis0.489914823
Mean31.29046706
Median Absolute Deviation (MAD)1.658
Skewness-0.7720326285
Sum1239321.529
Variance6.467976249
MonotonicityNot monotonic
2022-08-06T19:05:38.720090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.69218
 
< 0.1%
33.46517
 
< 0.1%
32.49116
 
< 0.1%
31.94915
 
< 0.1%
33.21515
 
< 0.1%
31.71315
 
< 0.1%
32.65915
 
< 0.1%
32.59315
 
< 0.1%
32.715
 
< 0.1%
32.79615
 
< 0.1%
Other values (10231)39451
99.6%
ValueCountFrequency (%)
18.5891
< 0.1%
19.3951
< 0.1%
19.7041
< 0.1%
20.0621
< 0.1%
20.0672
< 0.1%
20.1231
< 0.1%
20.1891
< 0.1%
20.241
< 0.1%
20.4171
< 0.1%
20.4621
< 0.1%
ValueCountFrequency (%)
37.251
< 0.1%
37.2251
< 0.1%
37.1012
< 0.1%
36.9951
< 0.1%
36.9791
< 0.1%
36.9151
< 0.1%
36.8681
< 0.1%
36.8371
< 0.1%
36.8081
< 0.1%
36.8061
< 0.1%

Y_06
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4269
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.52938208
Minimum-19.963
Maximum18.998
Zeros0
Zeros (%)0.0%
Negative99
Negative (%)0.2%
Memory size309.6 KiB
2022-08-06T19:05:38.883542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-19.963
5-th percentile15.177
Q116.146
median16.694
Q317.164
95-th percentile17.758
Maximum18.998
Range38.961
Interquartile range (IQR)1.018

Descriptive statistics

Standard deviation1.89301384
Coefficient of variation (CV)0.1145241747
Kurtosis270.339787
Mean16.52938208
Median Absolute Deviation (MAD)0.501
Skewness-15.02970347
Sum654679.236
Variance3.583501399
MonotonicityNot monotonic
2022-08-06T19:05:39.040327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.78238
 
0.1%
16.87236
 
0.1%
17.09933
 
0.1%
16.85932
 
0.1%
17.13832
 
0.1%
16.96732
 
0.1%
16.7232
 
0.1%
16.84731
 
0.1%
16.7631
 
0.1%
16.47531
 
0.1%
Other values (4259)39279
99.2%
ValueCountFrequency (%)
-19.9631
< 0.1%
-19.6021
< 0.1%
-19.5171
< 0.1%
-19.4721
< 0.1%
-19.4431
< 0.1%
-19.3671
< 0.1%
-19.3511
< 0.1%
-19.2521
< 0.1%
-19.232
< 0.1%
-19.0991
< 0.1%
ValueCountFrequency (%)
18.9981
< 0.1%
18.9921
< 0.1%
18.8881
< 0.1%
18.8571
< 0.1%
18.8241
< 0.1%
18.7861
< 0.1%
18.7531
< 0.1%
18.7281
< 0.1%
18.6921
< 0.1%
18.6851
< 0.1%

Y_07
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2394
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.155054107
Minimum0.502
Maximum5.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:39.201531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.502
5-th percentile2.53
Q12.863
median3.126
Q33.4335
95-th percentile3.864
Maximum5.299
Range4.797
Interquartile range (IQR)0.5705

Descriptive statistics

Standard deviation0.4189399013
Coefficient of variation (CV)0.1327837454
Kurtosis0.7671083874
Mean3.155054107
Median Absolute Deviation (MAD)0.283
Skewness0.08450194006
Sum124962.228
Variance0.1755106409
MonotonicityNot monotonic
2022-08-06T19:05:39.354699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.00557
 
0.1%
2.9456
 
0.1%
3.13653
 
0.1%
2.98852
 
0.1%
3.12852
 
0.1%
3.03351
 
0.1%
3.27251
 
0.1%
2.97651
 
0.1%
3.0351
 
0.1%
3.0850
 
0.1%
Other values (2384)39083
98.7%
ValueCountFrequency (%)
0.5021
< 0.1%
0.6851
< 0.1%
0.7231
< 0.1%
0.8181
< 0.1%
0.8791
< 0.1%
0.9111
< 0.1%
0.9211
< 0.1%
0.9331
< 0.1%
0.9451
< 0.1%
0.9531
< 0.1%
ValueCountFrequency (%)
5.2991
< 0.1%
5.1181
< 0.1%
4.9991
< 0.1%
4.9911
< 0.1%
4.9821
< 0.1%
4.9271
< 0.1%
4.9181
< 0.1%
4.911
< 0.1%
4.8681
< 0.1%
4.851
< 0.1%

Y_08
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3672
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.29483879
Minimum-29.652
Maximum-23.785
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:39.531116image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.652
5-th percentile-27.4447
Q1-26.689
median-26.254
Q3-25.855
95-th percentile-25.283
Maximum-23.785
Range5.867
Interquartile range (IQR)0.834

Descriptive statistics

Standard deviation0.6605368289
Coefficient of variation (CV)-0.0251203985
Kurtosis0.7493218708
Mean-26.29483879
Median Absolute Deviation (MAD)0.415
Skewness-0.4373902743
Sum-1041459.68
Variance0.4363089024
MonotonicityNot monotonic
2022-08-06T19:05:39.682284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.31441
 
0.1%
-26.09140
 
0.1%
-25.83840
 
0.1%
-26.43139
 
0.1%
-26.43539
 
0.1%
-26.0939
 
0.1%
-26.08138
 
0.1%
-26.37238
 
0.1%
-26.04537
 
0.1%
-26.12236
 
0.1%
Other values (3662)39220
99.0%
ValueCountFrequency (%)
-29.6521
< 0.1%
-29.6421
< 0.1%
-29.6051
< 0.1%
-29.5781
< 0.1%
-29.4521
< 0.1%
-29.3521
< 0.1%
-29.331
< 0.1%
-29.3241
< 0.1%
-29.3092
< 0.1%
-29.3061
< 0.1%
ValueCountFrequency (%)
-23.7851
< 0.1%
-24.0131
< 0.1%
-24.1171
< 0.1%
-24.1421
< 0.1%
-24.1581
< 0.1%
-24.1621
< 0.1%
-24.181
< 0.1%
-24.191
< 0.1%
-24.2071
< 0.1%
-24.2111
< 0.1%

Y_09
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3649
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.30862254
Minimum-29.523
Maximum-23.96
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:39.843400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.523
5-th percentile-27.44
Q1-26.702
median-26.266
Q3-25.871
95-th percentile-25.311
Maximum-23.96
Range5.563
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6535798156
Coefficient of variation (CV)-0.02484279877
Kurtosis0.7264309573
Mean-26.30862254
Median Absolute Deviation (MAD)0.414
Skewness-0.4318247115
Sum-1042005.613
Variance0.4271665753
MonotonicityNot monotonic
2022-08-06T19:05:39.988356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.3143
 
0.1%
-26.22841
 
0.1%
-26.2838
 
0.1%
-26.10638
 
0.1%
-26.26537
 
0.1%
-26.12337
 
0.1%
-26.0437
 
0.1%
-26.37537
 
0.1%
-26.1137
 
0.1%
-26.33136
 
0.1%
Other values (3639)39226
99.0%
ValueCountFrequency (%)
-29.5231
< 0.1%
-29.4771
< 0.1%
-29.471
< 0.1%
-29.4271
< 0.1%
-29.3921
< 0.1%
-29.3761
< 0.1%
-29.3511
< 0.1%
-29.3391
< 0.1%
-29.3381
< 0.1%
-29.3311
< 0.1%
ValueCountFrequency (%)
-23.961
< 0.1%
-23.9851
< 0.1%
-24.0911
< 0.1%
-24.1041
< 0.1%
-24.1551
< 0.1%
-24.161
< 0.1%
-24.1891
< 0.1%
-24.2191
< 0.1%
-24.2421
< 0.1%
-24.2761
< 0.1%

Y_10
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4458
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22.40006244
Minimum-31.119
Maximum-20.052
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:40.155051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-31.119
5-th percentile-23.9517
Q1-22.871
median-22.275
Q3-21.791
95-th percentile-21.195
Maximum-20.052
Range11.067
Interquartile range (IQR)1.08

Descriptive statistics

Standard deviation0.920952195
Coefficient of variation (CV)-0.04111382268
Kurtosis10.34745855
Mean-22.40006244
Median Absolute Deviation (MAD)0.529
Skewness-1.837054602
Sum-887199.273
Variance0.8481529455
MonotonicityNot monotonic
2022-08-06T19:05:40.303010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-22.01433
 
0.1%
-21.99533
 
0.1%
-21.91932
 
0.1%
-22.09632
 
0.1%
-22.32732
 
0.1%
-22.17631
 
0.1%
-22.09231
 
0.1%
-22.32931
 
0.1%
-22.06531
 
0.1%
-21.78630
 
0.1%
Other values (4448)39291
99.2%
ValueCountFrequency (%)
-31.1191
< 0.1%
-30.9491
< 0.1%
-30.9261
< 0.1%
-30.7881
< 0.1%
-30.6191
< 0.1%
-30.5871
< 0.1%
-30.5841
< 0.1%
-30.5481
< 0.1%
-30.5371
< 0.1%
-30.5071
< 0.1%
ValueCountFrequency (%)
-20.0521
 
< 0.1%
-20.0931
 
< 0.1%
-20.131
 
< 0.1%
-20.1471
 
< 0.1%
-20.2241
 
< 0.1%
-20.2351
 
< 0.1%
-20.2721
 
< 0.1%
-20.2883
< 0.1%
-20.311
 
< 0.1%
-20.3311
 
< 0.1%

Y_11
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4309
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.32506113
Minimum19.844
Maximum26.703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:05:40.457505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum19.844
5-th percentile22.815
Q123.836
median24.42
Q324.9115
95-th percentile25.514
Maximum26.703
Range6.859
Interquartile range (IQR)1.0755

Descriptive statistics

Standard deviation0.8301968024
Coefficient of variation (CV)0.03412927919
Kurtosis0.7579205164
Mean24.32506113
Median Absolute Deviation (MAD)0.532
Skewness-0.6749349242
Sum963442.696
Variance0.6892267307
MonotonicityNot monotonic
2022-08-06T19:05:40.607208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.73734
 
0.1%
24.77634
 
0.1%
24.49633
 
0.1%
24.5832
 
0.1%
24.54232
 
0.1%
24.40932
 
0.1%
24.64432
 
0.1%
24.50931
 
0.1%
24.74131
 
0.1%
24.58831
 
0.1%
Other values (4299)39285
99.2%
ValueCountFrequency (%)
19.8441
< 0.1%
20.0311
< 0.1%
20.0451
< 0.1%
20.1011
< 0.1%
20.1751
< 0.1%
20.1941
< 0.1%
20.1991
< 0.1%
20.2951
< 0.1%
20.2981
< 0.1%
20.3341
< 0.1%
ValueCountFrequency (%)
26.7031
< 0.1%
26.6591
< 0.1%
26.6571
< 0.1%
26.5921
< 0.1%
26.5791
< 0.1%
26.5671
< 0.1%
26.5511
< 0.1%
26.5451
< 0.1%
26.4831
< 0.1%
26.481
< 0.1%

Y_12
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3673
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23776173
Minimum-29.544
Maximum-23.722
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:40.766907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.544
5-th percentile-27.38
Q1-26.63
median-26.198
Q3-25.799
95-th percentile-25.238
Maximum-23.722
Range5.822
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6563285123
Coefficient of variation (CV)-0.02501465327
Kurtosis0.7459825
Mean-26.23776173
Median Absolute Deviation (MAD)0.413
Skewness-0.4446574078
Sum-1039199.029
Variance0.430767116
MonotonicityNot monotonic
2022-08-06T19:05:40.912640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.02649
 
0.1%
-26.1741
 
0.1%
-26.07640
 
0.1%
-26.35839
 
0.1%
-26.11839
 
0.1%
-26.4438
 
0.1%
-26.29238
 
0.1%
-25.99837
 
0.1%
-25.91937
 
0.1%
-26.35437
 
0.1%
Other values (3663)39212
99.0%
ValueCountFrequency (%)
-29.5441
< 0.1%
-29.4531
< 0.1%
-29.4411
< 0.1%
-29.3671
< 0.1%
-29.3461
< 0.1%
-29.3411
< 0.1%
-29.3351
< 0.1%
-29.311
< 0.1%
-29.2871
< 0.1%
-29.2831
< 0.1%
ValueCountFrequency (%)
-23.7221
< 0.1%
-23.9471
< 0.1%
-23.951
< 0.1%
-24.0671
< 0.1%
-24.1511
< 0.1%
-24.161
< 0.1%
-24.2211
< 0.1%
-24.2281
< 0.1%
-24.2311
< 0.1%
-24.241
< 0.1%

Y_13
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3665
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23386934
Minimum-29.448
Maximum-23.899
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:41.069071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.448
5-th percentile-27.366
Q1-26.624
median-26.193
Q3-25.794
95-th percentile-25.2393
Maximum-23.899
Range5.549
Interquartile range (IQR)0.83

Descriptive statistics

Standard deviation0.6550900257
Coefficient of variation (CV)-0.02497115531
Kurtosis0.7518019689
Mean-26.23386934
Median Absolute Deviation (MAD)0.413
Skewness-0.4398630698
Sum-1039044.863
Variance0.4291429417
MonotonicityNot monotonic
2022-08-06T19:05:41.215276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.09742
 
0.1%
-26.18741
 
0.1%
-26.33641
 
0.1%
-26.2840
 
0.1%
-26.15139
 
0.1%
-26.34638
 
0.1%
-26.03938
 
0.1%
-25.96837
 
0.1%
-26.21336
 
0.1%
-25.99536
 
0.1%
Other values (3655)39219
99.0%
ValueCountFrequency (%)
-29.4481
< 0.1%
-29.4431
< 0.1%
-29.3751
< 0.1%
-29.3681
< 0.1%
-29.3551
< 0.1%
-29.351
< 0.1%
-29.3011
< 0.1%
-29.2921
< 0.1%
-29.2361
< 0.1%
-29.2261
< 0.1%
ValueCountFrequency (%)
-23.8991
< 0.1%
-23.9361
< 0.1%
-23.9651
< 0.1%
-24.0211
< 0.1%
-24.1171
< 0.1%
-24.1231
< 0.1%
-24.1771
< 0.1%
-24.1941
< 0.1%
-24.2051
< 0.1%
-24.211
< 0.1%

Y_14
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3682
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.24586843
Minimum-29.62
Maximum-23.856
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:05:41.371855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.62
5-th percentile-27.3817
Q1-26.64
median-26.204
Q3-25.809
95-th percentile-25.245
Maximum-23.856
Range5.764
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6559887312
Coefficient of variation (CV)-0.02499398078
Kurtosis0.734812393
Mean-26.24586843
Median Absolute Deviation (MAD)0.413
Skewness-0.4307872388
Sum-1039520.111
Variance0.4303212155
MonotonicityNot monotonic
2022-08-06T19:05:41.519058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.30346
 
0.1%
-26.02541
 
0.1%
-26.14839
 
0.1%
-25.85839
 
0.1%
-26.0839
 
0.1%
-26.17438
 
0.1%
-26.10538
 
0.1%
-25.83538
 
0.1%
-26.42437
 
0.1%
-26.06537
 
0.1%
Other values (3672)39215
99.0%
ValueCountFrequency (%)
-29.621
< 0.1%
-29.5291
< 0.1%
-29.4931
< 0.1%
-29.4341
< 0.1%
-29.341
< 0.1%
-29.3351
< 0.1%
-29.3121
< 0.1%
-29.2921
< 0.1%
-29.2821
< 0.1%
-29.281
< 0.1%
ValueCountFrequency (%)
-23.8561
< 0.1%
-24.0521
< 0.1%
-24.1372
< 0.1%
-24.1391
< 0.1%
-24.1651
< 0.1%
-24.1761
< 0.1%
-24.1921
< 0.1%
-24.1931
< 0.1%
-24.2081
< 0.1%
-24.2111
< 0.1%

Interactions

2022-08-06T19:05:30.647841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:25.520416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.646037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.705685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.947581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.772555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.779702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:45.087898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:48.024890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:51.125609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.990168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.495167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.544772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.455148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.526767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.594343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:12.893063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.829382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.797842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.732305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.765216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.722600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.790626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:25.672074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.794245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:33.019243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:36.084996image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.918693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.926007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:45.229911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:48.177001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:51.263284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:54.149171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.647496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.685620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.601748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.675344image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.730880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:13.034551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.973446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.940220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.877956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.908452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.864353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.927240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:25.818096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.940084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:33.161615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:36.218243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:39.061146image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:42.067774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:45.367835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:48.323885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:51.397256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:54.297632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.790119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.829451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.746417image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.819966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.866946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:13.174199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:16.113347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:19.086196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:22.019435image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:25.048014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:28.001542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:31.065557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:25.968300image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:29.084414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:33.305447image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:36.351604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:39.202939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:42.209440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:45.506750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:48.470083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:51.532004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:54.449905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.934433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.966681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.889745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.965035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:10.002105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:13.312876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:16.252329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:19.226068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:22.162392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:25.188092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:28.142198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:31.189607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:26.096642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:29.212664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:33.435823image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:36.468491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:39.329426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:42.335667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:45.628902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:48.598480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:51.651295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:54.582689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:58.061874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:01.087132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:04.016624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:07.093330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:10.119996image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:13.434169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:16.375997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:19.347724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:22.288441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:25.313356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-08-06T19:04:30.621303image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:34.853830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:37.768849image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:40.714072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.015000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:46.976598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.024606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:52.973121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:56.010201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:59.460796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:02.421744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:05.431282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:08.507076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:11.436807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:14.789533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:17.758448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:20.695200image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:23.693304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:26.675732image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:29.610003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.209007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:27.661363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:30.751964image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:34.984896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:37.888669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:40.841685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.143017image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.101660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.156284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.094499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:56.142516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:59.587658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:02.546191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:05.563142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:08.637789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:11.557942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:14.913922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:17.883113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:20.820338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:23.821277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:26.800550image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:29.735904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.341531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:27.801061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:30.886601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.122864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.014205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:40.976099image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.276749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.231379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.293360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.221241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:56.280566image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:59.723829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:02.676783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:05.700409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:08.774005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:11.683151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.043527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.012804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:20.949823image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:23.954422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:26.931324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:29.866594image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.474993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:27.939608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.022307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.259179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.138717image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.110154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.411245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.360332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.431654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.353598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:56.794238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:59.857865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:02.807411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:05.834678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:08.910609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:11.809189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.173772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.144548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.080063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.089751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.061659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:29.995760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.610328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.078345image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.156850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.394578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.264573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.241705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.544746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.490300image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.569388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.481444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:56.936049image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:59.992033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:02.933617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:05.969522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.045332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:11.935162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.302815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.272699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.207748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.223381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.194051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.124148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.751298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.225156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.299559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.538473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.395878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.383014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.685611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.629127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.713336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.613234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.079330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.135340image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.068799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.115077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.186838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:12.067416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.440493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.408587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.343526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.364740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.332314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.259483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:33.880555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.367727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.433716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.674799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.521194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.516071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.819969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.762611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.850360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.738918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.219189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.272801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.197448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.252325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.322001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:12.193317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.570836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.537298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.473613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.497834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.462656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.387921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:34.011196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:28.507059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:31.570606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:35.811262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:38.646181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:41.648578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:44.954394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:47.894752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:50.987587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:53.864820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:04:57.356569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:00.409481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:03.327695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:06.390708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:09.459040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:12.318885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:15.700208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:18.667813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:21.602727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:24.630946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:27.592048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:05:30.518608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-08-06T19:05:41.678641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-06T19:05:41.924846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-06T19:05:42.169056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-06T19:05:42.416232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-08-06T19:05:34.233455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-06T19:05:34.711901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

X_25X_26X_27X_28X_29X_30X_31X_32Y_01Y_02Y_03Y_04Y_05Y_06Y_07Y_08Y_09Y_10Y_11Y_12Y_13Y_14
02.072.052.062.062.351.491.691.462.0561.4561.68010.50229.63216.0834.276-25.381-25.529-22.76923.792-25.470-25.409-25.304
12.102.102.102.172.281.491.671.451.4461.1841.26818.50733.17916.7363.229-26.619-26.523-22.57424.691-26.253-26.497-26.438
22.062.042.072.102.261.491.691.461.2510.6650.78214.08231.80117.0802.839-26.238-26.216-22.16924.649-26.285-26.215-26.370
32.052.032.062.072.121.471.681.471.4641.0791.05216.97534.50317.1433.144-25.426-25.079-21.76524.913-25.254-25.021-25.345
42.062.092.122.332.131.491.681.470.9830.6460.68915.04732.60217.5693.138-25.376-25.242-21.07225.299-25.072-25.195-24.974
52.092.092.102.102.181.501.651.481.1550.6780.58011.76029.66216.2013.343-26.466-26.527-22.62124.064-26.489-26.536-26.426
62.042.042.032.072.121.461.771.472.1401.4381.68914.13732.73915.5732.418-27.581-28.038-23.35523.051-27.650-27.709-27.599
72.092.092.102.122.161.471.721.481.7691.5351.53417.95434.68018.2303.147-24.917-24.832-20.68926.138-24.539-24.538-24.668
82.102.112.172.132.171.501.641.461.3260.9450.88313.95229.12916.6083.931-25.890-25.801-22.52124.353-25.738-25.825-25.764
92.052.272.162.082.251.511.681.482.0041.7871.54816.88534.20918.1202.646-25.520-25.408-21.15925.961-25.353-25.567-25.470

Last rows

X_25X_26X_27X_28X_29X_30X_31X_32Y_01Y_02Y_03Y_04Y_05Y_06Y_07Y_08Y_09Y_10Y_11Y_12Y_13Y_14
395972.072.052.072.072.151.371.551.361.4891.3691.30315.68734.08917.5863.107-25.927-25.836-21.61125.399-25.850-25.867-25.587
395982.082.042.062.072.131.361.601.361.2990.6121.03217.95732.87016.8043.140-26.569-26.304-23.10224.660-26.259-26.410-26.365
395992.132.092.122.102.211.381.541.350.9490.8910.76717.70630.87717.0902.547-26.652-26.807-22.18824.737-26.783-26.694-26.771
396002.052.042.062.082.101.361.701.350.9980.5630.9118.87928.95716.4413.387-26.545-26.572-22.70524.084-26.618-26.677-26.530
396012.082.062.082.072.141.371.551.361.5561.4181.32812.59832.67116.9492.996-26.106-26.281-22.35924.661-26.134-26.300-26.306
396022.112.082.112.102.201.371.601.361.3821.2151.26310.87429.19416.5823.410-26.486-26.581-22.77224.261-26.491-26.584-26.580
396032.122.092.122.112.201.401.681.371.4820.6061.0838.75929.85915.6593.406-27.308-27.203-24.67423.427-27.250-27.334-27.325
396042.092.082.072.122.161.391.611.371.1171.1540.99313.15924.72016.8233.215-26.502-26.687-22.57724.301-26.388-26.425-26.601
396052.032.052.052.102.121.371.561.360.8950.1870.4779.12326.41215.7574.216-26.760-26.634-24.06623.305-26.536-26.751-26.635
396062.102.102.052.132.171.391.541.361.1470.3480.85210.42130.74516.7813.307-26.054-26.251-23.25724.450-26.224-26.256-26.093